Professional Scrum Product Owner - AI Essentials Training Course

This instructor-led, live training in India (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion of this training, participants will be able to:

• Comprehend the role of AI in financial automation and fraud detection.
• Construct AI models to detect fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial intelligence is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and streamline lending decisions.

This instructor-led live training, available either online or at your premises, is designed for finance professionals with an intermediate skill level who want to leverage artificial intelligence to refine credit scoring models, manage risk more effectively, and enhance lending operations.

Upon completing this training, participants will be equipped to:

• Grasp the core AI methodologies employed in credit scoring and risk prediction.
• Construct and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Implement AI techniques to boost underwriting, loan approvals, and portfolio management.

Course Format

• Engaging lectures and interactive discussions.
• Ample exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request a customized version of this course, please get in touch with us to arrange.

Artificial Intelligence empowers the creation of digital products with advanced data-driven capabilities and personalized customer experiences.

This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is aimed at intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.

By the end of this training, participants will be able to:

• Identify customer needs and define a clear product vision.
• Apply AI technologies to enhance digital banking products.
• Use agile and design thinking methods to create user-centered solutions.
• Measure, iterate, and optimize product performance for sustained value.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop with case studies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence is reshaping the way financial institutions identify fraud and tackle money laundering by utilizing intelligent, real-time analysis of extensive transaction data.

This instructor-led live training, available online or onsite, targets intermediate-level professionals keen on leveraging machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completion of this training, participants will be equipped to:

• Comprehend AI applications in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI for identifying network risks.
• Ensure the deployment of models that are ethical, explainable, and compliant with regulations.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live lab environment.

Course Customization Options

• For customized training requirements, please reach out to us to arrange.

Artificial Intelligence serves as a strategic enabler for risk reduction, customer experience, and operational efficiency within financial services.

This instructor-led live training, available either online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The course aims to help participants understand how to responsibly and effectively implement AI solutions within their institutions.

Upon completion of this training, participants will be able to:

• Comprehend the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lectures and discussions.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Artificial Intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure, real-time financial services.

This instructor-led live training, available both online and onsite, is tailored for beginner to intermediate-level FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking to craft next-generation financial products.

Upon completing this training, participants will be equipped to:

• Grasp how AI and machine learning are deployed across various FinTech applications.
• Utilize Open Banking APIs and data aggregation tools to drive product innovation.
• Develop AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure that innovation aligns with regulatory, ethical, and security standards.

Course Format

• Engaging lectures coupled with interactive discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training tailored to this course, please reach out to us to make arrangements.

Artificial Intelligence (AI) is reshaping how financial institutions manage risk, strategy, compliance, and customer experience.

Offered as an instructor-led live training (available online or onsite), this course targets intermediate-level financial and technology professionals eager to grasp how AI influences strategy, ethics, and regulation within the financial sector.

Upon completing this training, participants will be equipped to:

• Comprehend the strategic applications of AI in financial services.
• Assess the ethical and regulatory implications of adopting AI.
• Construct frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance mandates.

Course Format

• Interactive lectures and discussions.
• Case studies and collaborative group exercises.
• Practical analysis of real-world AI regulatory frameworks.

Course Customization Options

• To arrange customized training for this course, please get in touch with us.

Artificial Intelligence encompasses a robust array of methodologies designed to create intelligent trading systems capable of autonomously analyzing market data, generating predictions, and executing strategic decisions.

This instructor-led live training, available either online or at your location, is tailored for finance professionals with intermediate experience who aim to integrate AI techniques into trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and the development of algorithmic strategies.

Upon completion of this training, participants will be equipped to:

• Grasp the critical role of AI in contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Implement supervised and unsupervised learning models on financial datasets.
• Enhance portfolio optimization through AI-driven methodologies.

Course Format

• Engaging lectures coupled with interactive discussions.
• Extensive practical exercises and hands-on practice.
• Direct implementation in a live-lab environment.

Customization Options

• For inquiries regarding customized training sessions, please reach out to us to make arrangements.

Artificial intelligence is reshaping the WealthTech sector by facilitating highly customized financial services, smart advisory platforms, and improved client experiences.

This instructor-led, live training (available online or onsite) targets intermediate-level finance and technology professionals eager to design, assess, or deploy AI-powered solutions for personalized wealth management and robo-advisory services.

Upon completing this training, participants will be equipped to:

• Comprehend the application of AI in wealth management and digital advisory platforms.
• Design intelligent systems tailored for personalized portfolio recommendations.
• Integrate behavioral finance data and individual preferences into advisory algorithms.
• Assess ethical and regulatory challenges associated with automated investment advice.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For a customized training session for this course, please get in touch with us to arrange.

Applied AI brings unprecedented levels of efficiency and intelligence to the methods finance professionals use to analyze and report on business performance.

This instructor-led live training, available online or on-site, is designed for intermediate-level finance professionals looking to integrate AI tools into their financial statement workflows. The goal is to enhance accuracy, automate repetitive tasks, and derive forward-looking insights.

By the conclusion of this training, participants will be equipped to:

• Automate data extraction from financial documents using AI-driven tools.
• Apply machine learning models to identify trends and anomalies within financial statements.
• Utilize generative AI to support variance commentary, narrative reporting, and scenario simulation.
• Interpret AI-generated outputs responsibly within the context of finance reporting and planning.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

• For those seeking customized training for this course, please contact us to arrange your requirements.

This instructor-led, live training in India (online or on-site) is designed for AI professionals and software developers at intermediate to advanced levels who aim to develop smart applications using AI and ML.

Upon completion of this training, participants will be capable of:

• Grasping the advanced concepts and technologies underpinning AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively constructing, training, and deploying AI/ML models.
• Developing smart applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across different industries.

This instructor-led live training in India (online or onsite) is designed for finance professionals who wish to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.

By the end of this training, participants will be able to:

• Understand the basics of ChatGPT and how it works.
• Use ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data with ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models for specific financial use cases.

Copilot for Microsoft 365 is an AI-driven assistant designed to integrate seamlessly with Microsoft Office applications, enabling finance and accounting professionals to boost productivity, simplify reporting processes, and support informed decision-making.

This instructor-led, live training session (available online or on-site) is tailored for finance and accounting professionals with limited AI experience who wish to harness Microsoft Copilot to enhance the accuracy, efficiency, and depth of insight in their financial tasks.

Upon completion of this training, participants will be equipped to:

• Generate financial reports swiftly and with high accuracy using Copilot.
• Automate routine accounting and data-entry activities.
• Produce financial summaries and forecasts with AI support.
• Utilize natural language prompts to extract valuable insights from extensive financial datasets.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in India (online or onsite) is designed for IT professionals at the beginner level who wish to acquire a foundational understanding of intelligent applications and their application across various industries.

By the conclusion of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This instructor-led, live training in India (online or on-site) is designed for data scientists, engineers, and AI professionals ranging from intermediate to advanced levels who aim to master the intricacies of intelligent applications and utilize them to address challenging, real-world problems.

Upon completion of this training, participants will be capable of:

• Implementing and evaluating deep learning architectures.
• Applying machine learning techniques at scale within distributed computing environments.
• Designing and executing reinforcement learning models to facilitate decision-making.
• Developing advanced NLP systems for language comprehension.
• Employing computer vision methods for image and video analysis.
• Addressing ethical implications in the creation and deployment of AI systems.